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Introduction to the 2026 Singapore Nanyang Technological University "Machine Learning and Applications" Winter Project

The 2026 Singapore Nanyang Technological University "Machine Learning and Applications" winter project is a comprehensive course that covers the fundamental theories and cutting-edge technologies of machine learning. The course includes classic algorithms such as convolutional neural networks and provides students with a deep understanding of artificial intelligence.

Project Overview

The project will take place from February 1, 2026, to February 8, 2026, and consists of 30 hours of instruction, including 20 academic hours and 10 practical hours.

Project Modules

• Module One: Understanding the needs of machine learning in prediction, decision-making, and recognition
• Module Two: Traditional machine learning and its applications
• Module Three: Neural networks and deep learning, from multilayer perceptrons to convolutional neural networks
• Module Four: Deep learning, from convolutional neural networks to advanced topics
• Module Five: Visits, exchanges, and practical activities

Project Outcomes

Upon completing the course and meeting the attendance and evaluation requirements, students will receive an official certificate of completion from Nanyang Technological University and an assessment report.

Application Requirements

To apply for the project, students must meet the following conditions:

• Be proficient in English
• Have a strong willingness to participate and family support
• Abide by the rules and regulations of the university and the project

Application Procedure

The application procedure includes the following steps:

• Online registration before December 19, 2025
• Submission of application materials, including a personal statement and supporting documents
• Review and selection by the university and the project organizers

Project Fees

The project fee is 16,800 yuan per person, which includes:

• Course instruction
• Institution visits
• Cultural activities
• Accommodation arrangements
• Unified pick-up and drop-off services
• International insurance fees

Additional Information

• Students who complete the project may be eligible for course credits and scholarships.
• The project will include a online presentation on December 10, 2025, at 19:00 (GMT+8).
• Students are responsible for their own transportation and personal expenses.
• The project is organized by the Southeast University Computer Science and Engineering College, Software Engineering College, and Artificial Intelligence College.